Channel differentiation strategy in a dual-channel supply chain considering free riding behavior

产品差异化 频道(广播) 同种类的 业务 对偶(语法数字) 供应链 服务(商务) 产业组织 营销 广告 微观经济学 计算机科学 经济 电信 数学 组合数学 艺术 文学类 古诺竞争
作者
Chen Tian,Tiaojun Xiao,Jennifer Shang
出处
期刊:European Journal of Operational Research [Elsevier BV]
卷期号:301 (2): 473-485 被引量:93
标识
DOI:10.1016/j.ejor.2021.10.034
摘要

The emergence of e-commerce has compelled original brand manufacturers to adopt cross-channel strategies. This research investigates how a manufacturer facing free riders should decide on channel differentiation strategy, i.e., selling homogeneous or differentiated products through his own online channel and via an independent retailer. We consider horizontal differentiation across channels and identify the optimal strategy. In addition, we develop an agent-based model with vertical and horizontal differentiation to derive managerial insights for more complex situations. We have analytically found: (1) consumers are more likely to engage in free riding when faced with differentiated products than homogeneous products, as the price gap across channels is larger under the former scenario; (2) the manufacturer should offer differentiated products if the free rider's online factor is high. Similarly, if the retailer's service cost is low (high), and online (offline) shopping cost is low, differentiated products should be offered. (3) Under different conditions, offering homogeneous or differentiated products could respectively be a win-win strategy for the manufacturer and the retailer. (4) The proposed channel differentiation strategies remain robust to the horizontal differentiation decision and integration of the retail channel. Through agent-based computational experiments, we derive several insights. Namely, (1) if consumers are highly heterogeneous, the manufacturer should horizontally differentiate products across channels; (2) the manufacturer should narrow the vertical differentiation between the two products in dual channels; and (3) the manufacturer should differentiate products if consumers are familiar with the products.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
aaaa应助聪聪great采纳,获得20
2秒前
小马甲应助聪聪great采纳,获得10
2秒前
嘻嘻发布了新的文献求助10
2秒前
华仔应助科研小白采纳,获得10
6秒前
JamesPei应助kk采纳,获得10
7秒前
国泰民安发布了新的文献求助10
8秒前
聪聪great完成签到,获得积分20
8秒前
9秒前
香蕉觅云应助licheng采纳,获得10
9秒前
wanci应助youyouyun采纳,获得10
11秒前
阙歌完成签到 ,获得积分10
12秒前
FashionBoy应助嘻嘻采纳,获得10
13秒前
13秒前
搞怪的老九应助Muttu采纳,获得10
15秒前
GRG完成签到,获得积分10
15秒前
科研通AI6.4应助Forever采纳,获得10
16秒前
我是老大应助菜鸟采纳,获得10
17秒前
小瘦猴完成签到,获得积分10
19秒前
19秒前
科研小白完成签到,获得积分10
20秒前
Patcher发布了新的文献求助10
21秒前
21秒前
21秒前
21秒前
21秒前
liutianbao发布了新的文献求助10
21秒前
霍明轩完成签到 ,获得积分10
22秒前
YprjVPG完成签到,获得积分10
23秒前
国泰民安完成签到,获得积分10
23秒前
Muttu完成签到,获得积分10
23秒前
丞飞飞发布了新的文献求助10
24秒前
TIANTIAN发布了新的文献求助10
25秒前
露稚完成签到 ,获得积分10
26秒前
SF2768发布了新的文献求助10
26秒前
27秒前
licheng发布了新的文献求助10
27秒前
30秒前
Wayne关注了科研通微信公众号
30秒前
醋溜爆肚儿完成签到,获得积分10
31秒前
在下小雨发布了新的文献求助10
31秒前
高分求助中
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
CLSI VET01S-2024 Performance Standards for Antimicrobial Disk and Dilution Susceptibility Tests for Bacteria Isolated From Animals (7th Ed) 500
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7774072
求助须知:如何正确求助?哪些是违规求助? 9316053
关于积分的说明 20349019
捐赠科研通 7359798
什么是DOI,文献DOI怎么找? 3317352
关于科研通互助平台的介绍 2465871
邀请新用户注册赠送积分活动 2332611